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VimoSEWA Arogya Sanshodan. Baseline Findings Jan 2011. Today’s Presentation. Overview of Swasthya Sanshodan project Summary of baseline findings Analysis plan Your feedback on data, analysis and use. Action Research – Why?. VimoSEWA claims 2007-9 Primary illness 40% of claims
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VimoSEWAArogya Sanshodan Baseline Findings Jan 2011
Today’s Presentation • Overview of Swasthya Sanshodan project • Summary of baseline findings • Analysis plan • Your feedback on data, analysis and use
Action Research – Why? • VimoSEWA claims 2007-9 • Primary illness 40% of claims • Hysterectomy top claim for rural women, avg age 37 • Effectiveness of health education • Longstanding SEWA activity, in different forms • Recent studies show impact on neonatal mortality • Can it work for primary care and hysterectomy?
Research Questions • Can health education reduce unnecessary hospitalisation for diarrhea and fever? • Incidence • Expenditure • Health seeking behaviour • What are the drivers of hysterectomy? • How does education impact on knowledge and response to hysterectomy and gynecological care? • Do insured members seek health care differently? • Does an education program work differently for the uninsured?
Intervention Design • Selected 28 sevikas who work where VimoSEWA/LSM active • Randomly selected 14 sevikas to implement health education • Focus on diarrhea, malaria/fever and hysterectomy • Film, games and demonstrations • Capacity building and regular feedback • Over 2 years, 5 survey rounds amongst insured and uninsured to capture health seeking behavior
Study Coverage • 70 HH sampled in each cluster • 35 uninsured – from area listing • 35 insured – from Vimo MIS
Place of OPD Treatment Avg private exp: Rs. 380 Avg private exp: Rs. 501 Primarily private care, but less so in city Note slight differences within HH
Hospitalisation amongst women Rural Urban
Where Hospitalised - All Rural Urban
Are VimoSEWA members different? DIFFERENCES • SES – only urban • More salaried • Higher exp • More pucca houses • Demographic • More widows • Less educated (urban) • Much more likely to have a ration card SIMILARITIES • SES • Income • Toilets • Housing (rural) • Demographic • HH size • Family structure
Reproductive Health Rural Urban
Analysis Plan Baseline • Women’s illnesses and health seeking behaviour • Insured and Uninsured • Social Determinants of Health Overall • Impact of health education – with qualitative • Hysterectomy – with qualitative • Community health workers – performance and roles